Experiments in Fluids

, Volume 42, Issue 4, pp 575–587 | Cite as

Fundamentals of multiframe particle image velocimetry (PIV)

Research Article

Abstract

A sophisticated strategy for the evaluation of time-resolved PIV image sequences is presented which takes the temporal variation of the particle image pattern into account. The primary aim of the method is to increase the accuracy and dynamic range by locally adopting the particle image displacement for each interrogation window to overcome the largest drawback of PIV. This is required in order to resolve flow phenomena which have so far remained inaccessible. The method locally optimizes the temporal separation between the particle image pairs by taking first and second order effects into account. The validation of the evaluation method is performed with synthetically generated particle image sequences based on the solution of a direct numerical simulation. In addition, the performance of the evaluation approach is demonstrated by means of a real image sequence measured with a time-resolved PIV system.

Notes

Acknowledgments

This research has been supported by the German Research Foundation (DFG) in the priority program 1147 “Bildgebende Messverfahren für die Strömungsanalyse”. The authors would like to thank Dr. Rist from the University of Stuttgart for providing the DNS data.

References

  1. Adrian RJ (1997) Dynamic ranges of velocity and spatial resolution of particle image velocimetry. Meas Sci Technol 8:1393–1398CrossRefGoogle Scholar
  2. Hain R, Kähler CJ, Tropea C (2007) Comparison of CCD, CMOS and intensified cameras. Exp Fluids. doi:10.1007/s00348-006-0247-1
  3. Kähler CJ (2004a) The significance of coherent flow structures for the turbulent mixing in wall-bounded flows. PhD Thesis, Georg-August-Universität of Göttingen. http://www.webdoc.sub.gwdg.de/diss/2004/kaehler/kaehler.pdf
  4. Kähler CJ (2004b) Significance of dynamic evaluation of time resolved PIV images for complex flow investigations. In: The international workshop on dynamic PIV, Takeda Hall, The University of Tokio, March 23Google Scholar
  5. Kähler CJ, Kompenhans J (2000) Fundamentals of multiple plane stereo particle image velocimetry. Exp Fluids 29:S70–S77CrossRefGoogle Scholar
  6. Kähler CJ, Scholz U, Ortmanns J (2006) Wall-shear-stress and near-wall turbulence measurements up to single pixel resolution by means of long distance micro-PIV. Exp Fluids 41:327–341CrossRefGoogle Scholar
  7. Keane RD, Adrian RJ (1990) Optimization of particle image velocimeters. Part 1: Double pulsed systems. Meas Sci Technol 1:1202–1215CrossRefGoogle Scholar
  8. Keane RD, Adrian RJ (1992) Theory of cross-correlation analysis of PIV images. Appl Sci Res 49:191–215CrossRefGoogle Scholar
  9. Lecordier B, Westerweel J (2004) The EUROPIV synthetic image generator (S.I.G.). In: Particle image velocimetry: recent improvements. Proceedings of the EUROPIV 2 workshop held in Zaragoza, Spain, March 31–April 1, 2003. Springer, HeidelbergGoogle Scholar
  10. Marxen O, Rist U, Wagner S (2004) The effect of spanwise-modulated disturbances on transition in a 2-D separated boundary layer. AIAA J 42:937–944CrossRefGoogle Scholar
  11. Ol MV, Hanff E, McAuliffe B, Scholz U, Kähler C (2005) Comparison of laminar separation bubble measurements on a low Reynolds number airfoil in three facilities. In: AIAA paper 2005-5149, 35th AIAA fluid dynamics conference and exhibit, Toronto, June 6–9Google Scholar
  12. Pereira F, Ciarravano A, Romano GP, Di Felice F (2004) Adaptive multi-frame PIV. In: 12th international symposium on applications of laser techniques to fluid mechanics, Lisbon, Portugal, July 12–15Google Scholar
  13. Stanislas M, Okamoto K, Kähler CJ (2003) Main results of the first international PIV Challenge. Meas Sci Technol 14:53–89CrossRefGoogle Scholar
  14. Stanislas M, Okamoto K, Kähler CJ, Westerweel J (2005) Main results of the second international PIV Challenge. Exp Fluids 39:170–191CrossRefGoogle Scholar
  15. Westerweel J (2004) Principles of PIV technique III. Spatial correlation analysis. Application of particle image velocimetry—theory and practice. DLR, Göttingen, Germany, March 1–5Google Scholar
  16. Westerweel J, Geelhoed PF, Lindken R (2004) Single-pixel resolution ensemble correlation for micro-PIV applications. Exp Fluids 37:375–384CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  1. 1.Institut für StrömungsmechanikTechnische Universität BraunschweigBraunschweigGermany

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